Maintaining security and stability of supply against typical time endured and field related stresses, influences the effective remaining life of electrical equipment in service. Constituting the backbone of transmission and distribution plant, insulating dielectrics remain the most prone and influential mediums to which the healthy safekeeping of power supplies remains dependant [1-4]. Methods providing diagnosis of pending dielectric faults accurately predict and hence greatly reduce likelihood of otherwise prolonged or irreparable damage [5-6]. The subjects of this paper will aspect the result of monitoring with a 'Hybrid' algorithm, detailing the stages of effectiveness in electrically noisy environments. Presented is an update in developing AI monitoring applying the use of Fast Fourier Transforms (FFT) and Wavelet analysis.
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